Which geographic data point is MOST commonly used by retail machine learning algorithms when determining optimal new store locations?

When global retail giants expand into new territories, they often employ sophisticated machine learning algorithms to determine optimal store locations. These algorithms analyze various geographic and demographic factors to maximize potential success. This poll tests your knowledge of how retailers use data science to make critical geographic expansion decisions in the modern retail landscape.

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Population density within specific radius zones
Average annual snowfall in the region
Distance to nearest international airport
Historical earthquake frequency data